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CCHZ-DISO: A Timely New Assessment System for Data Quality or Model Performance From Da Dao Zhi Jian

Hu, Zengyun (author)
Chen, Deliang, 1961 (author)
Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences
Chen, Xi (author)
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Zhou, Qiming (author)
Peng, Yuzhou (author)
Li, Jianfeng (author)
Sang, Yanfang (author)
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 (creator_code:org_t)
2022
2022
English.
In: Geophysical Research Letters. - 0094-8276 .- 1944-8007. ; 49:23
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • With the rapid development of big data, assessment of data quality or model performance has become a hot scientific question. However, most existing lots of metrics focus on specific aspects of the assessment, and comprehensive assessment is rare. Therefore, it is very necessary to develop new assessment system. To address this problem, a new assessment system is constructed which is named after Chen, Chen, Hu, and Zhou (CCHZ)-distance between indices of simulation and observation (DISO) according to the contributions of Xi Chen, Deliang Chen, Zengyun Hu, and Qiming Zhou. CCHZ-DISO system builds on the Euclidean Distance and flexible determination of statistical metrics and their numbers. Due to its simplicity and flexibility, CCHZ-DISO can be readily and widely applied to any subject of science. Therefore, it follows the principle of the Chinese philosopher Lao Zi's Da Dao Zhi Jian which means that the most basic truth is very simple.

Subject headings

NATURVETENSKAP  -- Geovetenskap och miljövetenskap (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences (hsv//eng)

Keyword

CCHZ-DISO assessment system
data quality
model performance
statistical metric

Publication and Content Type

ref (subject category)
art (subject category)

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